--- title: "magentic vs semantic-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jackmpcollins-magentic-vs-microsoft-semantic-kernel" tools: ["jackmpcollins-magentic", "microsoft-semantic-kernel"] --- # magentic vs semantic-kernel *GraphCanon updated Sep 20, 2026* ## Verdict Pick magentic if magentic is a Python library that simplifies the integration of language models as functions, supporting OpenAI and other LLM providers; pick semantic-kernel if semantic-kernel is a framework for integrating large language models into applications using C#, Python, Java, and .NET, offering flexibility across multiple programming environments. [magentic](https://magentic.dev/) reports 2.4k GitHub stars, 127 forks, and 50 open issues, last pushed Mar 11, 2026. [semantic-kernel](https://aka.ms/semantic-kernel) has 29k stars, 4.8k forks, and 304 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [magentic's repository](https://github.com/jackmpcollins/magentic) and [semantic-kernel's repository](https://github.com/microsoft/semantic-kernel). | | [magentic](/tools/jackmpcollins-magentic.md) | [semantic-kernel](/tools/microsoft-semantic-kernel.md) | | --- | --- | --- | | Tagline | Seamlessly integrate LLMs as Python functions | Integrate cutting-edge LLM technology quickly and easily into your apps | | Stars | 2,425 | 28,575 | | Forks | 127 | 4,774 | | Open issues | 50 | 304 | | Language | Python | C# | | Adopt for | Magentic is a Python library that simplifies the integration of language models as functions, supporting OpenAI and other LLM providers. | Semantic-kernel is a framework for integrating large language models into applications using C#, Python, Java, and .NET, offering flexibility across multiple programming environments. | | Persona | - | - | | Runtime | - | - | | License | Magentic is distributed under the MIT License, allowing for free use, modification, and distribution. | Semantic-kernel is licensed under the MIT license, allowing for free use, modification, and distribution of the software. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [magentic](/tools/jackmpcollins-magentic.md) | [semantic-kernel](/tools/microsoft-semantic-kernel.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 190d | 0d | | Open issues (now) | 50 | 304 | | Stars delta | +10 (30d) | +148 (30d) | | Open issues delta | +1 (30d) | +48 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/jackmpcollins-magentic/trust.md) | [trust report](/tools/microsoft-semantic-kernel/trust.md) | ## Shared compatibility - **Python**: [magentic](/tools/jackmpcollins-magentic.md) - Python runtime; [semantic-kernel](/tools/microsoft-semantic-kernel.md) - Python runtime ## Decision facts: magentic - **Pricing:** freemium - The library itself is free to use, but users will incur costs based on their usage of the LLM providers it integrates with, such as OpenAI. - **Requirements:** Min 1 GB RAM; Ensure the OpenAI API key is set as an environment variable for using OpenAI's models. - **Adopt for:** Magentic is a Python library that simplifies the integration of language models as functions, supporting OpenAI and other LLM providers. - **License detail:** Magentic is distributed under the MIT License, allowing for free use, modification, and distribution. ## Decision facts: semantic-kernel - **Requirements:** System requirements include Python 3.10+, .NET 10.0+, and JDK 17+.; Operating system support includes Windows, macOS, and Linux. - **Adopt for:** Semantic-kernel is a framework for integrating large language models into applications using C#, Python, Java, and .NET, offering flexibility across multiple programming environments. - **License detail:** Semantic-kernel is licensed under the MIT license, allowing for free use, modification, and distribution of the software. ## Choose when ### Choose magentic if… - magentic is primarily Python; semantic-kernel is C#. - Pricing: The library itself is free to use, but users will incur costs based on their usage of the LLM providers it integrates with, such as OpenAI.. - Requirements: Min 1 GB RAM; Ensure the OpenAI API key is set as an environment variable for using OpenAI's models.. - Tags unique to magentic: agent, agentic, chatbot, chatgpt. - When you need to integrate OpenAI or other LLM providers directly as Python functions in your project. ### Choose semantic-kernel if… - semantic-kernel is primarily C#; magentic is Python. - Requirements: System requirements include Python 3.10+, .NET 10.0+, and JDK 17+.; Operating system support includes Windows, macOS, and Linux.. - Tags unique to semantic-kernel: artificial-intelligence, azure-openai, csharp, openai. - When you need to integrate large language models into applications using C#, Python, Java, or .NET, as semantic-kernel supports these languages natively. ## When NOT to use magentic - If your project demands a more complex setup or customization beyond what Magentic offers out of the box. - When you are working in an environment where Python is not the primary language, as Magentic is specifically designed for Python. ## When NOT to use semantic-kernel - If your project is strictly limited to a single programming language that is not C#, Python, Java, or.NET, as semantic-kernel does not support other languages. - When your application must exclusively use a specific AI service provider that is not Azure OpenAI or OpenAI, as semantic-kernel's primary integration is with these services. - If your development environment is not Windows, macOS, or Linux, as semantic-kernel does not support other operating systems. ## Common questions ### What is the difference between magentic and semantic-kernel? magentic: Seamlessly integrate LLMs as Python functions. semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose magentic over semantic-kernel? Choose magentic over semantic-kernel when magentic is primarily Python; semantic-kernel is C#; Pricing: The library itself is free to use, but users will incur costs based on their usage of the LLM providers it integrates with, such as OpenAI.; Requirements: Min 1 GB RAM; Ensure the OpenAI API key is set as an environment variable for using OpenAI's models.; Tags unique to magentic: agent, agentic, chatbot, chatgpt; When you need to integrate OpenAI or other LLM providers directly as Python functions in your project. ### When should I choose semantic-kernel over magentic? Choose semantic-kernel over magentic when semantic-kernel is primarily C#; magentic is Python; Requirements: System requirements include Python 3.10+, .NET 10.0+, and JDK 17+.; Operating system support includes Windows, macOS, and Linux.; Tags unique to semantic-kernel: artificial-intelligence, azure-openai, csharp, openai; When you need to integrate large language models into applications using C#, Python, Java, or .NET, as semantic-kernel supports these languages natively. ### When should I avoid magentic? If your project demands a more complex setup or customization beyond what Magentic offers out of the box. When you are working in an environment where Python is not the primary language, as Magentic is specifically designed for Python. ### When should I avoid semantic-kernel? If your project is strictly limited to a single programming language that is not C#, Python, Java, or.NET, as semantic-kernel does not support other languages. When your application must exclusively use a specific AI service provider that is not Azure OpenAI or OpenAI, as semantic-kernel's primary integration is with these services. If your development environment is not Windows, macOS, or Linux, as semantic-kernel does not support other operating systems. ### Is magentic or semantic-kernel more popular on GitHub? semantic-kernel has more GitHub stars (28,575 vs 2,425). Stars measure visibility, not whether either tool fits your constraints. ### Are magentic and semantic-kernel open source? Yes - both are open-source projects on GitHub (magentic: MIT, semantic-kernel: MIT). ### Where can I find alternatives to magentic or semantic-kernel? GraphCanon lists graph-backed alternatives at [magentic alternatives](/tools/jackmpcollins-magentic/alternatives) and [semantic-kernel alternatives](/tools/microsoft-semantic-kernel/alternatives) ([magentic markdown twin](/tools/jackmpcollins-magentic/alternatives.md), [semantic-kernel markdown twin](/tools/microsoft-semantic-kernel/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/jackmpcollins-magentic-vs-microsoft-semantic-kernel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, magentic or semantic-kernel? magentic: Slowing. semantic-kernel: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for magentic and semantic-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [magentic trust report](/tools/jackmpcollins-magentic/trust); [semantic-kernel trust report](/tools/microsoft-semantic-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jackmpcollins-magentic`](/api/graphcanon/graph?tool=jackmpcollins-magentic) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_